Method for segmenting target by binocular stereo image based on Graph Cut theory

Abstract

The invention discloses a method for segmenting a target by a binocular stereo image based on a Graph Cut theory, and the method comprises the steps: firstly inputting a left image and a right image in the binocular stereo image, and obtaining disparity maps of the two images through calculation through a stereo matching algorithm; secondly, calculating weight information of the image; then, constructing a graph model of a Graph Cut method according to the weight information to obtain a segmentation result of the three-dimensional image pair; and finally, filling small holes in the segmentation result by using morphological operations such as expansion and corrosion on the segmentation result, removing small connected regions in the segmentation result, and smoothing by using median filtering to obtain a final segmentation result. Compared with a traditional image segmentation method, the method disclosed by the invention strengthens a neighborhood system constructed in the traditionalmethod, improves the segmentation precision at the edge of the image, better uses the depth information of the binocular image, and obtains a better segmentation result.

Description

technical field [0001] The invention belongs to the technical field of computer digital image processing, and in particular relates to a binocular stereo image pair target segmentation method based on Graph Cuts theory. Background technique [0002] Binocular stereo vision technology is to use two left and right cameras to shoot the same scene at the same time to obtain a binocular stereo image pair, and then calculate the positional parallax of the pixels in the left and right images through the stereo matching algorithm, combined with the calibration parameters of the camera, use triangular parallax The principle can calculate the three-dimensional coordinate value of the pixel point in the image in space. Compared with traditional monocular vision, binocular stereo vision can record the depth information of the scene. To obtain the depth information in the stereo image pair, it is necessary to perform stereo matching on the left and right images in the binocular stereo i...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a binocular stereoscopic image segmentation method based on Graph Cuts theory, which solves the problems of weak neighborhood system, complex interaction and insufficient utilization of depth information in traditional methods

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